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SSRN 2024年

作者： Wendimu, Abebe Alemu Matušů, Radek Gazdoš, František Zerdazi, El Wardi Shaikh, Ibrahim Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Nad Stráněmi 4511 Zlin760 05 Czech Republic

This paper employs MATLAB simulations and various numerical methods to solve ordinary differential equations (ODEs) within a water tank drainage system. The study compares one-step methods with multistep methods to analyze global and local errors in solving differential equations. The study underscores the significance of selecting an appropriate step size in enhancing the accuracy of numerical solutions, particularly in ensuring precise outcomes for water level control applications such as chemical processing operations, bottling industries, and water tanks and reservoirs. The study aims to provide insights into the trade-offs involved in choosing various numerical methods, considering factors such as accuracy, stability, computation time, memory usage, and optimal step sizes when addressing similar problems where accuracy is crucial. © 2024, The Authors. All rights reserved.

关键词： Water tanks

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Novel Voltage Support Strategies for DGs in Hybrid ACDC Distribution Networks under Faults

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IEEE Transactions on Sustainable Energy 2025年

作者： Li, Yuze Guo, Peng Xu, Qianming Shuai, Zhikang Guerrero, Josep M. School of Electrical Engineering and Automation Xiamen University of Technology China Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control Xiamen361012 China Hunan University College of Electrical and Information Engineering Changsha410082 China University of Aalborg Department of Energy Technology Aalborg9220 Denmark

According to the grid codes, the higher the voltage at the point of common coupling (PCC), the longer duration that the voltage-source converters (VSC) can stay connected to the grid. In hybrid ACDC distribution networks (HADNs), owing to the low capacity, VSC-based distributed generator (DG) closest to the fault point may fail to significantly support the voltage at the PCC through current injection. Therefore, other large-capacity converters such as flexible ACDC converters (FACs) should also inject currents to help it. However, in resistive-inductive HADNs, the voltage support effect is related to the current phases of converters, and the fault conditions. In this paper, circumstances under two fault position categories (upstream and downstream fault positions of DG) for double line-to-ground fault and three-phase short-circuit fault are analyzed. The interconnected sequence networks of HADNs under these two fault positions are proposed. Based on the proposed networks, the optimal current phase angles of DG and FAC for maximumly supporting voltages at the PCC of the DG are proposed. Moreover, the line sequence impedance calculation method is proposed. The simulation results verify the proposed strategy. The proposed strategy is suitable for low-capacity DGs in resistive-inductive HADNs to achieve voltage support and fault ride-through. © 2025 IEEE.

关键词： Voltage-source converters

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LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Point Cloud Heat Map

LHMap-loc: Cross-Modal Monocular Localization Using LiDAR Po...

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IEEE International Conference on Robotics and automation (ICRA)

作者： Xinrui Wu Jianbo Xu Puyuan Hu Guangming Wang Hesheng Wang Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China Department of Engineering University of Cambridge Cambridge U.K

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Localization using a monocular camera in the pre-built LiDAR point cloud map has drawn increasing attention in the field of autonomous driving and mobile robotics. However, there are still many challenges (e.g. difficulties of map storage, poor localization robustness in large scenes) in accurately and efficiently implementing cross-modal localization. To solve these problems, a novel pipeline termed LHMap-loc is proposed, which achieves accurate and efficient monocular localization in LiDAR maps. Firstly, feature encoding is carried out on the original LiDAR point cloud map by generating offline heat point clouds, by which the size of the original LiDAR map is compressed. Then, an end-to-end online pose regression network is designed based on optical flow estimation and spatial attention to achieve real-time monocular visual localization in a pre-built map. In addition, a series of experiments have been conducted to prove the effectiveness of the proposed method. Our code is available at: https://***/IRMVLab/LHMap-loc.

关键词： Location awareness Point cloud compression Visualization Laser radar Accuracy Robot vision systems Real-time systems

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Real-time Design and Implementation of Nonlinear Speed controller for Permanent Magnet DC Motor Based on PSO Tuner

Real-time Design and Implementation of Nonlinear Speed Contr...

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2021 IEEE International Conference on Automatic control and Intelligent Systems, I2CACIS 2021

作者： Mohammed, Ali Kadhim Al-Dujaili, Ayad Qasim Al-Shamaa, Nabil Kadhim Middle Technical University Technical College of Electrical Engineering Hilla Electrical Power Engineering Techniques Department Iraq Middle Technical University Technical College of Electrical Engineering Baghdad Electrical Engineering Department Iraq Middle Technical University Technical College of Electrical Engineering Baghdad Control and Automation Techniques Engineering Department Iraq

ISBN: (纸本)9781665403436

Speed control of PMDC motors finds applications in various industries. For certain structures, the controller of Proportional, Integral and Derivative (PID) is typically the first choice because of its ease of execution and fast tuning. So, all conventional techniques and optimization stochastic for PID controller tuning provide preliminary feasible parameters for, and. This paper uses traditional PID and nonlinear PID to control the speed of the PMDC motor, which is tuned by Particle Swarm Optimization (PSO). The methodology is demonstrated by performing simulations using the MATLAB tool. The simulation results exhibit that the role of the nonlinear PID based scheme is more robust than the traditional PID controller, as well as the speed, tracked the desired reference rabidly. © 2021 IEEE.

关键词： controllers

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Distributed Differential Game for Formation control of Multi-UAV with Obstacle Avoidance

Distributed Differential Game for Formation Control of Multi...

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2022 Chinese automation Congress, CAC 2022

作者： Li, Zeyi Xue, Wenyan Li, Dongfang Lin, Dingci Huang, Jie College of Electrical Engineering and Automation Fuzhou University Fuzhou350108 China 5G+Industrial Internet Institute Fuzhou University Fuzhou350108 China Education Department of Fujian Province Key Laboratory of Industrial Automation Control Technology and Information Processing Fuzhou350108 China

ISBN: (纸本)9781665465335

For the multi-unmanned aerial vehicle formation control (MUAVFC) in obstacle environments, this work proposes a new distributed non-cooperative differential game framework. This scheme adequately reflects the dynamic interaction of each UAV in the formation control process and effectively reflects the interaction of individual strategies and behaviors. Meanwhile, the game model is added with obstacle avoidance penalty constraints to achieve obstacle avoidance in the UAV formation flight and ensure flight safety. Each UAV needs to obtain the information of its neighbors following the communication topology to minimize the cost function, so that all strategy converges to Nash equilibrium. Based on the existing differential game method that only considers the formation goal, this work adds a penalty function term representing the distance between obstacles in the game model to achieve flight obstacle avoidance. In addition, this work strictly proves the existence of Nash equilibrium. The simulation results verify that the UAVs in this scheme have successfully formed a formation. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Multi-Condition Fault Diagnosis of Dynamic Systems: A Survey, Insights, and Prospects

arXiv

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arXiv 2024年

作者： Han, Pengyu Liu, Zeyi He, Xiao Ding, Steven X. Zhou, Donghua The Department of Automation Tsinghua University Beijing100084 China The Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg47057 Germany The College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao266000 China

With the increasing complexity of industrial production systems, accurate fault diagnosis is essential to ensure safe and efficient system operation. However, due to changes in production demands, dynamic process adjustments, and complex external environmental disturbances, multiple operating conditions frequently arise during production. The multi-condition characteristics pose significant challenges to traditional fault diagnosis methods. In this context, multi-condition fault diagnosis has gradually become a key area of research, attracting extensive attention from both academia and industry. This paper aims to provide a systematic and comprehensive review of existing research in the field. Firstly, the mathematical definition of the problem is presented, followed by an overview of the current research status. Subsequently, the existing literature is reviewed and categorized from the perspectives of single-model and multi-model approaches. In addition, standard evaluation metrics and typical real-world application scenarios are summarized and analyzed. Finally, the key challenges and prospects in the field are thoroughly discussed. Copyright © 2024, The Authors. All rights reserved.

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Classification of Domestic Refuse in Medical Institutions Based on Transfer Learning and Convolutional Neural Network

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Computer Modeling in engineering & Sciences 2021年第5期127卷 599-620页

作者： Dequan Guo Qiao Yang Yu-Dong Zhang Tao Jiang Hanbing Yan School of Control Engineering Chengdu University of Information TechnologyChengdu610225China College of Automation Chongqing University of Posts and TelecommunicationsChongqing400065China Department of Informatics University of LeicesterLeicesterLE17RHUK

The problem of domestic refuse is becoming more and more serious with the use of all kinds of equipment in medical *** matter arouses people’s *** artificial waste classification is subjective and cannot be put accurately;moreover,the working environment of sorting is poor and the efficiency is ***,automated and effective sorting is *** view of the current development of deep learning,it can provide a good auxiliary role for classification and realize automatic *** this paper,the ResNet-50 convolutional neural network based on the transfer learning method is applied to design the image classifier to obtain the domestic refuse classification with high *** comparing the method designed in this paper with back propagation neural network and convolutional neural network,it is concluded that the CNN based on transfer learning method applied in this paper with higher accuracy rate and lower false detection ***,under the shortage situation of data samples,the method with transfer learning and ResNet-50 training model is effective to improve the accuracy of image classification.

关键词： Domestic refuse image classification deep learning transfer learning convolutional neural network

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Arbitrary State Transition of Open Qubit System Based on Switching control

arXiv

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arXiv 2024年

作者： Wu, Guangpu Xue, Shibei Ma, Shan Kuang, Sen Dong, Daoyi Petersen, Ian R. Department of Automation Shanghai Jiao Tong University Shanghai200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai200240 China School of Automation Central South University Changsha410083 China Department of Automation University of Science and Technology of China Hefei230027 China School of Engineering Australian National University CanberraACT2601 Australia

We present a switching control strategy based on Lyapunov control for arbitrary state transitions in open qubit systems. With coherent vector representation, we propose a switching control strategy, which can prevent the state of the qubit from entering invariant sets and singular value sets, effectively driving the system ultimately to a sufficiently small neighborhood of target states. In comparison to existing works, this control strategy relaxes the strict constraints on system models imposed by special target states. Furthermore, we identify conditions under which the open qubit system achieves finite-time stability (FTS) and finite-time contractive stability (FTCS), respectively. This represents a critical improvement in quantum state transitions, especially considering the asymptotic stability of arbitrary target states is unattainable in open quantum systems. The effectiveness of our proposed method is convincingly demonstrated through its application in a qubit system affected by various types of decoherence, including amplitude, dephasing and polarization decoherence. Copyright © 2024, The Authors. All rights reserved.

关键词： Asymptotic stability

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Autonomous Cost-Effective Robotic Exploration and Mapping for Disaster Reconnaissance 10

Autonomous Cost-Effective Robotic Exploration and Mapping fo...

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10th International Conference on Emerging Trends in engineering and Technology - Signal and Information Processing, ICETET-SIP-22 2022

作者： Seenu, N. Manohar, Lokeshwaran Stephen, Nikhit Mathew Ramanathan, Kuppan Chetty Ramya, M.M. Centre for Automation and Robotics Hindustan Institute of Technology and Science Chennai India Technische Universität Dortmund Department of Electrical Engineering and Information Technology Dortmund Germany École Centrale de Nantes Automatic Control and Robotics Department Nantes France

ISBN: (纸本)9781665467414

Natural calamities like earthquake and tsunami wreak havoc on life of so many people and the infrastructure, thus saving people who are trapped in the affected region has been a very difficult task for rescuers. This work aims to develop a system which will ease this task for the rescuers by using behavior based multiple robots that will explore, map, localize, path plan and navigate in an unknown environment. Various incarnations of pre-existing meta-heuristic algorithms are used to develop a cost-effective solution in this work. A random walk exploration is used to explore the entire environment effectively which reduces the computational cost and time. To reduce the complexities of mapping, binary occupancy grid is used for the map layout, which is not as efficient as compared to its counterparts but better, where time is the crucial factor. To identify the efficient path to navigate from source to destination positions in the environment, Particle Swarm Optimization algorithm is used in this paper. The last and the most crucial step of the system is navigation towards the destination. By integrating INS and GPS algorithms, the robot can get an almost perfect algorithm for navigation which is not prone to errors. Autonomous robot exploration, mapping and navigation are achieved by integrating the proposed algorithms to work simultaneously. The effectiveness of the proposed algorithms is analyzed through simulations in Webots virtual simulator environment, and the results are presented. Adapting the proposed exploration technique for swarm of robots is a prospective future research direction of this paper. © 2022 IEEE.

关键词： Legged locomotion Navigation Robot sensing systems Tsunami Sensors Particle swarm optimization Task analysis

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The Metal Polishing System for Finishing Shiny Metal Surfaces by Free Abrasive Polishing

The Metal Polishing System for Finishing Shiny Metal Surface...

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2023 International Conference on System Science and engineering, ICSSE 2023

作者： Lam, Le Hoang Truong, Nguyen Hoang Huy, Nguyen Minh Thanh, Truong Quoc Tran, Duc Thien Ho Chi Minh City University of Technology and Education Faculty of Electrical and Electronics Engineering Ho Chi Minh City70000 Viet Nam HCMC University of Technology Faculty of Mechanical Engineering Ho Chi Minh City70000 Viet Nam Ho Chi Minh City University of Technology and Education Automation Control Department Ho Chi Minh City70000 Viet Nam

ISBN: (纸本)9798350322941

This study investigates a force control method for free abrasive polishing to achieve a shiny metal surface finish. Despite the potential of this technique, this method is not widely used in metal surface polishing due to challenges in controlling the force during movement. To address the force control issue, we proposed an approach that uses the feedback force value indirectly calculated through the current value of the AC driver and applies it in a closed-loop control system. The proposed method is evaluated experimentally by polishing different metal pieces with varying particle sizes and movement speeds. The experimental results demonstrate that the proposed force control method effectively maintains a constant force during the polishing process, which leads to an improved surface finish. They also show that decreasing particle size and movement speed can improve the surface finish, while the contact force has a limited effect. These findings contribute to a better understanding of the relationship between force, movement speed, and surface finish quality in metal polishing. © 2023 IEEE.

关键词： Force control

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